Quantitative Researcher

7 days ago


Singapore Celestial Tech Pte Ltd Full time

Company

Celestial Tech Pte Ltd

Designation

Quantitative Researcher

Date Listed

29 Jul 2025

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive
- Part/TempIntern/TS

Job Period

Immediate Start, For At Least 3 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

Eu Tong Sen Street, Clarke Quay Central, Singapore

Address

6 Eu Tong Sen St, Singapore 059817

Map

Allowance / Remuneration

$800 - 1,500 monthly

Company Profile

Celestial Tech s a dynamic IT tech consulting firm committed to helping businesses thrive in the digital era. With a team of experienced IT professionals and technology experts, we provide strategic consulting, customized solutions, and end-to-end support that drive innovation and operational efficiency.

Our mission is to bridge the gap between business needs and cutting-edge technology. Whether you are a startup or an established enterprise, we bring the right tools, knowledge, and insights to accelerate your digital transformation.

**Job Description**:
**Responsibilities**:

- Design, develop, and validate alpha-generating strategies based on historical data
- Analyze the expected value and risk profile of trading ideas under various conditions
- Conduct large-scale simulations to test stop/target logic, position sizing, and execution risk
- Transform discretionary patterns or observed market behavior into rule-based strategies
- Collaborate with data engineering and ML teams to integrate signals and optimize performance
- Monitor live performance and iterate on strategy logic based on real-world feedback

**Requirements**:

- 2-5 years of experience in a quantitative trading, research, or strategy role
- Strong background in statistics, applied mathematics, or a related field
- Proficient in C++, Python (pandas, numpy); SQL or other data query languages a plus
- Experience working with large historical datasets (tick/intraday preferred)
- Familiarity with market microstructure and real-world execution dynamics
- Deep understanding of risk-adjusted performance metrics and strategy evaluation frameworks

Application Instructions



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